Artificial neural networks for educational data mining in higher education: A systematic literature review

E Okewu, P Adewole, S Misra… - Applied Artificial …, 2021 - Taylor & Francis
Efforts to raise the bar of higher education so as to respond to dynamic societal/industry
needs have led to a number of initiatives, including artificial neural network (ANN) based …

Enhancing discrete-event simulation with big data analytics: A review

A Greasley, JS Edwards - Journal of the Operational Research …, 2021 - Taylor & Francis
This article presents a literature review of the use of the OR technique of discrete-event
simulation (DES) in conjunction with the big data analytics (BDA) approaches of data …

Amazon EC2 spot price prediction using regression random forests

V Khandelwal, AK Chaturvedi… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Spot instances were introduced by Amazon EC2 in December 2009 to sell its spare capacity
through auction based market mechanism. Despite its extremely low prices, cloud spot …

A data-driven analysis of a cloud data center: statistical characterization of workload, energy and temperature

S Ilager, AN Toosi, MR Jha, I Brandic… - Proceedings of the IEEE …, 2023 - dl.acm.org
To efficiently manage large-scale cloud data centers, it is critical to understand data centers'
workload, energy, and thermal characteristics and their impact on the system through data …

On curating multimodal sensory data for health and wellness platforms

MB Amin, O Banos, WA Khan, HS Muhammad Bilal… - Sensors, 2016 - mdpi.com
In recent years, the focus of healthcare and wellness technologies has shown a significant
shift towards personal vital signs devices. The technology has evolved from smartphone …

Analytic queries over geospatial time-series data using distributed hash tables

M Malensek, S Pallickara… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
As remote sensing equipment and networked observational devices continue to proliferate,
their corresponding data volumes have surpassed the storage and processing capabilities …

An integrated environment–cost–time optimisation method for construction contractors considering global warming

K Feng, W Lu, S Chen, Y Wang - Sustainability, 2018 - mdpi.com
Construction contractors play a vital role in reducing the environmental impacts during the
construction phase. To mitigate these impacts, contractors need to develop environmentally …

A systematic approach for simulation-based dimensioning of production systems during the concept phase of factory planning

L Schäfer, F Klenk, T Maier, M Zehner, S Peukert… - Production …, 2024 - Springer
Due to increasing globalization, market penetration, and technological progress, more
products are becoming highly standardized and interchangeable. This has led to fierce price …

A fuzzy data augmentation technique to improve regularisation

R Dabare, KW Wong, MF Shiratuddin… - … Journal of Intelligent …, 2022 - Wiley Online Library
Deep learning (DL) has achieved superior classification in many applications due to its
capability of extracting features from the data. However, the success of DL comes with the …

Parallel simulation decision-making method for a response to unconventional public health emergencies based on the scenario–response paradigm and discrete …

T Xie, M Ni, Z Zhang, Y Wei - Disaster Medicine and Public Health …, 2019 - cambridge.org
Given the non-repeatability, complexity, and unpredictability of unconventional public health
emergencies, building accurate models and making effective response decisions based …